- Number
- 11550840
- Published
- 2023-01-10
- Filed
- 2017-07-19
- Assignee
- Disney Enterprises, Inc.
- Inventors
- Accardo; Anthony M. et al.
- CPC
- G06F16/48; G06F3/048; G06F16/532; G06Q10/10; G06F16/438
- Verdict
- Set aside content evaluation visualization, business
- Source
- Google Patents · FreePatentsOnline
Abstract
According to one implementation, a system for performing graph-based media content evaluation includes a computing platform having a hardware processor, and a system memory storing a media content evaluation software code and a graph database. The hardware processor is configured to execute the media content evaluation software code to receive a query from a system user, and to identify one or more media content evaluation metrics corresponding to the query. In addition, the hardware processor is configured to execute the media content evaluation software code to search the graph database for a media content data relevant to the one or more media content evaluation metrics, and to retrieve the media content data from the graph database. The hardware processor is further configured to execute the media content evaluation software code to generate a report responsive to the query using the media content data.
Background
BACKGROUND (1) The popularity of video as an entertainment medium has resulted in a wide variety of video based media content being produced and made available to consumers. Traditionally, the creative development of such media content has been a largely subjective, instinct driven, process. For example, a creative decision maker may view programming, or read a screenplay or script, and determine that a work is too violent, or insufficiently romantic. (2) Despite the subjectivity with which creative decisions surrounding the development of media content have historically been made, media experts and screenwriters agree that there do exist core structural elements common to the types engaging storylines that underlie successful movies and television programming. Unfortunately, however, the conventional art lacks a structured and quantitative process for objectively evaluating or comparing distinct works, or to predict the likelihood that a particular work will be a commercial success. SUMMARY (3) There are provided systems and methods for graph-based media content evaluation, substantially as shown in and/or described in connection with at least one of the figures, and as set forth more completely in the claims.
Claims
1. A system comprising: a computing platform including a hardware processor and a system memory; the system memory storing a video content evaluation software code and a graph database including entries describing a plurality of video contents having storylines with characters, the graph database including a plurality of nodes having character nodes corresponding to the characters; the hardware processor configured to execute the video content evaluation software code to: receive a query from a system user about a first video content of the plurality of video contents, wherein the query inquires about a first character of the characters in the first video content; identify at least one video content evaluation metric measuring a trait corresponding to the first character; search the graph database for a video content data relevant to the at least one video content evaluation metric measuring the trait corresponding to the first character; retrieve the video content data from the graph database, wherein the retrieved video content data includes data relating to the first character in the first video content retrieved from the plurality of nodes of the graph database; and generate a report responsive to the query and using the retrieved video content data, the report including a graphical representation of the retrieved video content data relating to the first character across a time period of the first video content, the graphical representation including a score for the at least one video content evaluation metric measuring the trait corresponding to the first character at each of a plurality of time intervals of the time period, wherein the score included in the graphical representation is generated using the retrieved video content data from the graph database. ||
7. A method for use by a system including a computing platform having a hardware processor and a system memory storing a video content evaluation software code and a graph database including entries describing a plurality of video contents having storylines with characters, the graph database including a plurality of nodes having character nodes, the method comprising: receiving, using the hardware processor, a query from a system user about a first video content of the plurality of video contents, wherein the query inquires about a first character of the characters in the first video content; identifying, using the hardware processor, at least one video content evaluation metric measuring a trait corresponding to the first character; searching, using the hardware processor, the graph database for video content data relevant to the at least one video content evaluation metric measuring the trait corresponding to the first character; retrieving, using the hardware processor, the video content data from the graph database, wherein the retrieved video content data includes data relating to the first character in the first video content retrieved from the plurality of nodes of the graph database; and generating, using the hardware processor, a report responsive to the query and using the retrieved video content data, the report including a graphical representation of the retrieved video content data relating to the first character across a time period of the first video content, the graphical representation including a score for the at least one video content evaluation metric measuring the trait corresponding to the first character at each of a plurality of time intervals of the time period, wherein the score included in the graphical representation is generated using the retrieved video content data from the graph database. ||
13. A computer-readable non-transitory medium having stored thereon instructions and a graph database including entries describing a plurality of video contents having storylines with characters, the graph database including a plurality of nodes having character nodes, wherein execution of the instructions by a hardware processor instantiates a method comprising: receiving a query from a system user about a first video content of the plurality of video contents, wherein the query inquires about a first character in the first video content; identifying at least one video content evaluation metric measuring a trait corresponding to the first character; searching the graph database for a video content data relevant to the at least one video content evaluation metric measuring the trait corresponding to the first character; retrieving the video content data from the graph database, wherein the retrieved video content data includes data relating to the first character in the first video content retrieved from the plurality of nodes of the graph database; and generating a report responsive to the query and using the retrieved video content data, the report including a graphical representation of the retrieved video content data relating to the first character across a time period of the first video content, the graphical representation including a score for the at least one video content evaluation metric measuring the trait corresponding to the first character at each of a plurality of time intervals of the time period, wherein the score included in the graphical representation is generated using the retrieved video content data from the graph database.